Our Team
Dr. Behnam Sharif, PhD
Directing Manager
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Behnam is a Health Economist with 10 years of experience working in academia and consulting research organizations.
Behnam offers expertise in development of health economic models and submission to HTA bodies worldwide. He has extensive experience in the design and implementation of cost-effectiveness, budget impact and cost-of-illness studies. Behnam is also an expert in data analysis offering design and implementation of epidemiological and Real-world Evidence studies.
Behnam has completed a PhD in health economics at University of British Columbia and a Master of Science in operations research and industrial engineering. Behnam has held previous roles as principal researcher at Cytel Inc, as a scientist at Statistics Canada, University of Calgary and various consulting research organizations. He has published widely in high-impact medical journals in health economics, real-world evidence analysis and patient-level models.
Sepehr Salehi, MSc
Data Sceince Lead
Sepehr is an accomplished Machine Learning Scientist and the Lead for Data Sceince at BenAdy Company, boasting over five years of dedicated experience in shaping and developing advanced AI platforms for both the banking industry and healthcare sector. Armed with a Master of Science degree from the renowned University of Toronto, Sepehr combines academic rigor with real-world innovation in the dynamic field of artificial intelligence.
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Sepehr has played a crucial role in creating BenAdy's AI platforms for Health Economics and Outcomes Research (HEOR) modeling projects. With his guidance, these platforms have streamlined modeling projects at Benady Company by using AI to address the complex challenges of our clients' needs.
Scientific Adviser
Dr. Farzad Zaerpour serves as an Associate Professor at The University of Winnipeg's Department of Business and Administration, situated within the Faculty of Business and Economics.
Dr. Zaerpour's expertise lies in the realm of Healthcare Management Science, specializing in the development of AI-assisted tools utilizing Real-World Evidence (RWE) to enhance patient flow and Wait Time Management Strategies in healthcare facilities. He offers scientific counsel to our team regarding the design and analysis of RWE studies, machine learning algorithms, and economic model development.